DeepAI
Log In Sign Up

Semantic Editing On Segmentation Map Via Multi-Expansion Loss

10/16/2020
by   Jianfeng He, et al.
0

Semantic editing on segmentation map has been proposed as an intermediate interface for image generation, because it provides flexible and strong assistance in various image generation tasks. This paper aims to improve quality of edited segmentation map conditioned on semantic inputs. Even though recent studies apply global and local adversarial losses extensively to generate images for higher image quality, we find that they suffer from the misalignment of the boundary area in the mask area. To address this, we propose MExGAN for semantic editing on segmentation map, which uses a novel Multi-Expansion (MEx) loss implemented by adversarial losses on MEx areas. Each MEx area has the mask area of the generation as the majority and the boundary of original context as the minority. To boost convenience and stability of MEx loss, we further propose an Approximated MEx (A-MEx) loss. Besides, in contrast to previous model that builds training data for semantic editing on segmentation map with part of the whole image, which leads to model performance degradation, MExGAN applies the whole image to build the training data. Extensive experiments on semantic editing on segmentation map and natural image inpainting show competitive results on four datasets.

READ FULL TEXT

page 1

page 4

page 6

page 12

page 13

page 14

page 15

page 16

10/20/2022

DiffEdit: Diffusion-based semantic image editing with mask guidance

Image generation has recently seen tremendous advances, with diffusion m...
04/10/2020

SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects

Recent advances in image generation gave rise to powerful tools for sema...
12/02/2021

GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation

Segmenting an image into its parts is a frequent preprocess for high-lev...
04/18/2022

VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance

Generating and editing images from open domain text prompts is a challen...
11/22/2022

The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot Image Generation

Few-shot image generation is a challenging task since it aims to generat...
03/11/2019

Video Generation from Single Semantic Label Map

This paper proposes the novel task of video generation conditioned on a ...